Residual Network and Embedding Usage: New Tricks of Node Classification with Graph Convolutional Networks
Residual Network and Embedding Usage: New Tricks of Node Classification with Graph Convolutional Networks
Abstract Graph Convolutional Networks (GCNs) and subsequent variants have been proposed to solve tasks on graphs, especially node classification tasks. In the literature, however, most tricks or techniques are either briefly mentioned as implementation details or only visible in source code. In this paper, we first summarize some existing effective …